mirror of https://github.com/morpheus65535/bazarr
Fixed some Whisper issues and added logging level selector for this specific provider
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549bebcc43
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c0bbd4f150
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@ -226,6 +226,8 @@ validators = [
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# whisperai section
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Validator('whisperai.endpoint', must_exist=True, default='http://127.0.0.1:9000', is_type_of=str),
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Validator('whisperai.timeout', must_exist=True, default=3600, is_type_of=int, gte=1),
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Validator('whisperai.loglevel', must_exist=True, default='INFO', is_type_of=str,
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is_in=['DEBUG', 'INFO', 'WARNING', 'ERROR', 'CRITICAL']),
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# legendasdivx section
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Validator('legendasdivx.username', must_exist=True, default='', is_type_of=str, cast=str),
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@ -310,6 +310,7 @@ def get_providers_auth():
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'endpoint': settings.whisperai.endpoint,
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'timeout': settings.whisperai.timeout,
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'ffmpeg_path': _FFMPEG_BINARY,
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'loglevel': settings.whisperai.loglevel,
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}
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}
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@ -20,7 +20,15 @@ import {
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useRef,
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useState,
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} from "react";
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import { Card, Check, Chips, Message, Password, Text } from "../components";
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import {
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Card,
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Check,
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Chips,
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Selector as GlobalSelector,
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Message,
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Password,
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Text,
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} from "../components";
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import {
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FormContext,
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FormValues,
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@ -206,6 +214,7 @@ const ProviderTool: FunctionComponent<ProviderToolProps> = ({
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info.inputs?.forEach((value) => {
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const key = value.key;
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const label = value.name ?? capitalize(value.key);
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const options = value.options ?? [];
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switch (value.type) {
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case "text":
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@ -236,6 +245,16 @@ const ProviderTool: FunctionComponent<ProviderToolProps> = ({
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></Check>
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);
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return;
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case "select":
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elements.push(
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<GlobalSelector
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key={key}
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label={label}
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settingKey={`settings-${itemKey}-${key}`}
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options={options}
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></GlobalSelector>
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);
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return;
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case "chips":
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elements.push(
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<Chips
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@ -1,3 +1,4 @@
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import { SelectorOption } from "@/components";
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import { ReactText } from "react";
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type Input<T, N> = {
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@ -6,12 +7,14 @@ type Input<T, N> = {
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defaultValue?: T;
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name?: string;
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description?: string;
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options?: SelectorOption<string>[];
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};
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type AvailableInput =
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| Input<ReactText, "text">
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| Input<string, "password">
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| Input<boolean, "switch">
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| Input<string, "select">
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| Input<ReactText[], "chips">;
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export interface ProviderInfo {
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@ -22,6 +25,14 @@ export interface ProviderInfo {
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inputs?: AvailableInput[];
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}
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export const logLevelOptions: SelectorOption<string>[] = [
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{ label: "DEBUG", value: "DEBUG" },
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{ label: "INFO", value: "INFO" },
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{ label: "WARNING", value: "WARNING" },
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{ label: "ERROR", value: "ERROR" },
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{ label: "CRITICAL", value: "CRITICAL" },
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];
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export const ProviderList: Readonly<ProviderInfo[]> = [
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{
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key: "addic7ed",
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@ -221,6 +232,12 @@ export const ProviderList: Readonly<ProviderInfo[]> = [
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defaultValue: 3600,
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name: "Transcription/translation timeout in seconds",
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},
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{
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type: "select",
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key: "loglevel",
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name: "Logging level",
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options: logLevelOptions,
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},
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],
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},
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{
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@ -1,5 +1,7 @@
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from __future__ import absolute_import
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import logging
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import time
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from datetime import timedelta
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from requests import Session
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@ -122,6 +124,13 @@ whisper_languages = {
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logger = logging.getLogger(__name__)
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def set_log_level(newLevel="INFO"):
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newLevel = newLevel.upper()
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# print(f'WhisperAI log level changing from {logging._levelToName[logger.getEffectiveLevel()]} to {newLevel}')
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logger.setLevel(getattr(logging, newLevel))
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# initialize to default above
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set_log_level()
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@functools.lru_cache(2)
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def encode_audio_stream(path, ffmpeg_path, audio_stream_language=None):
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@ -138,7 +147,8 @@ def encode_audio_stream(path, ffmpeg_path, audio_stream_language=None):
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.run(cmd=[ffmpeg_path, "-nostdin"], capture_stdout=True, capture_stderr=True)
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except ffmpeg.Error as e:
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raise RuntimeError(f"Failed to load audio: {e.stderr.decode()}") from e
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logger.warning(f"ffmpeg failed to load audio: {e.stderr.decode()}")
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return None
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logger.debug(f"Finished encoding audio stream in {path} with no errors")
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@ -161,6 +171,9 @@ def whisper_get_language_reverse(alpha3):
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return wl
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raise ValueError
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def language_from_alpha3(lang):
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name = Language(lang).name
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return name
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class WhisperAISubtitle(Subtitle):
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'''Whisper AI Subtitle.'''
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@ -198,12 +211,10 @@ class WhisperAIProvider(Provider):
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for lan in whisper_languages:
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languages.update({whisper_get_language(lan, whisper_languages[lan])})
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languages.update(set(Language.rebuild(lang, hi=True) for lang in languages))
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languages.update(set(Language.rebuild(lang, forced=True) for lang in languages))
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video_types = (Episode, Movie)
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def __init__(self, endpoint=None, timeout=None, ffmpeg_path=None):
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def __init__(self, endpoint=None, timeout=None, ffmpeg_path=None, loglevel=None):
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set_log_level(loglevel)
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if not endpoint:
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raise ConfigurationError('Whisper Web Service Endpoint must be provided')
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@ -230,12 +241,16 @@ class WhisperAIProvider(Provider):
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def detect_language(self, path) -> Language:
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out = encode_audio_stream(path, self.ffmpeg_path)
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if out == None:
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logger.info(f"Whisper cannot detect language of {path} because of missing/bad audio track")
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return None
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r = self.session.post(f"{self.endpoint}/detect-language",
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params={'encode': 'false'},
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files={'audio_file': out},
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timeout=(5, self.timeout))
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timeout=(self.timeout, self.timeout))
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logger.info(f"Whisper detected language of {path} as {r.json()['detected_language']}")
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logger.debug(f"Whisper detected language of {path} as {r.json()['detected_language']}")
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return whisper_get_language(r.json()["language_code"], r.json()["detected_language"])
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@ -262,6 +277,11 @@ class WhisperAIProvider(Provider):
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else:
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# We must detect the language manually
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detected_lang = self.detect_language(video.original_path)
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if detected_lang == None:
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sub.task = "error"
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# tell the user what is wrong
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sub.release_info = "bad/missing audio track - cannot transcribe"
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return sub
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if detected_lang != language:
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sub.task = "translate"
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@ -270,9 +290,11 @@ class WhisperAIProvider(Provider):
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if sub.task == "translate":
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if language.alpha3 != "eng":
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logger.info(f"Translation only possible from {language} to English")
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logger.debug(f"Translation only possible from {language} to English")
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return None
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# tell the user what we are about to do
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sub.release_info = f"{sub.task} {language_from_alpha3(sub.audio_language)} audio -> {language_from_alpha3(language.alpha3)} SRT"
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logger.debug(f"Whisper ({video.original_path}): {sub.audio_language} -> {language.alpha3} [TASK: {sub.task}]")
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return sub
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@ -285,11 +307,29 @@ class WhisperAIProvider(Provider):
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# Invoke Whisper through the API. This may take a long time depending on the file.
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# TODO: This loads the entire file into memory, find a good way to stream the file in chunks
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out = encode_audio_stream(subtitle.video.original_path, self.ffmpeg_path, subtitle.force_audio_stream)
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out = None
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if subtitle.task != "error":
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out = encode_audio_stream(subtitle.video.original_path, self.ffmpeg_path, subtitle.force_audio_stream)
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if out == None:
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logger.info(f"Whisper cannot process {subtitle.video.original_path} because of missing/bad audio track")
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subtitle.content = None
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return
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if subtitle.task == "transcribe":
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output_language = subtitle.audio_language
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else:
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output_language = "eng"
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logger.info(f'Starting WhisperAI {subtitle.task} to {language_from_alpha3(output_language)} for {subtitle.video.original_path}')
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startTime = time.time()
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r = self.session.post(f"{self.endpoint}/asr",
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params={'task': subtitle.task, 'language': whisper_get_language_reverse(subtitle.audio_language), 'output': 'srt', 'encode': 'false'},
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files={'audio_file': out},
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timeout=(5, self.timeout))
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timeout=(self.timeout, self.timeout))
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endTime = time.time()
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elapsedTime = timedelta(seconds=round(endTime - startTime))
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logger.info(f'Completed WhisperAI {subtitle.task} to {language_from_alpha3(output_language)} in {elapsedTime} for {subtitle.video.original_path}')
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subtitle.content = r.content
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